We are offering several internship positions / Master’s theses for motivated students interested in contributing to the development of our computer vision system for the operating room. Knowledge in computer vision, machine learning, augmented reality or GPGPU programming is expected. If you are interested in doing an internship in one of the topics listed below, please send Nicolas Padoy a short email including a description of your interests and a resume. All positions are funded and have a duration from 3 to 6 months. Successful candidates will be hosted within the IRCAD institute at the University Hospital of Strasbourg. He/She will thereby have direct contact with clinicians and also have access to an exceptional research environment.
|Deep Learning for the Analysis of Large Surgical Video Databases|
|Develop an approach to model, detect and recognize the surgical activities occurring within the hundreds of videos from our constantly growing surgical database. The approach will focus either on endoscopic videos or on multiple external RGBD views capturing the clinicians' activities. It will also be integrated into our live demonstrator for the operating room.|
|Multi-view Human Body Tracking for the Operating Room|
|Design a robust method to estimate the 3D body pose of clinicians using a multi-RGBD camera system mounted directly in the operating room of our clinical partner. The approach will have to address several issues related to clutter, occlusions and temporal tracking.|
|RGBD Camera Tracking in a Cluttered Operating Room|
|Implement a fast algorithm to estimate the pose of a camera in the operating room in the presence of clutter and deformations in the scene. The objective will be to display the results from our radiation monitoring system into a light augmented reality device.|
|3D Visualization of X-ray Propagation for Radiation Safety Analysis|
|Propose a method for the intuitive visualization of the 3D radiation risk in the interventional radiology room using the Microsoft HoloLens head-mounted display. The method will rely on our ceiling-mounted multi-RGBD camera system and be implemented on GPU to enable quick interactions between the clinicians and the monitoring system.
More details available upon request. Illustrative videos related to the projects are available here.
We are currently looking for two PhD students in Computer Vision/Artificial Intelligence. Details are available here.
Post-doctoral Fellow / Research Engineer Positions
We are currently looking for post-doctoral fellows and research engineers in Computer Vision/Artificial Intelligence. Details are available here.